Robotics Engineer, Hardware Integrations

Build and maintain the hardware and software infrastructure that lets intelligent robots learn, operate, and scale in real-world environments. As a Hardware Engineer on the Robotics Lab team, you will bring up new robotic platforms, integrate multimodal sensors, create reliable data pipelines and teleoperation systems, and enable researchers to iterate rapidly on new capabilities.

• Bring up, integrate, and maintain robotic platforms, including humanoids, robotic manipulators, mobile robots, and custom end effectors.
• Build and maintain robust integrations with ROS 2, vendor hardware SDKs, and custom control interfaces.
• Design and operate scalable data collection pipelines for multimodal robotics datasets, capturing RGB, depth, IMU, force/torque, and joint telemetry, and storing data in formats such as ROS Bag, HDF5, Parquet, and MP4.
• Develop reliable teleoperation systems focused on low-latency control, observability, and operator experience.
• Build and optimize real-time video streaming infrastructure using WebRTC, RTSP, FFmpeg, GStreamer, and HLS.
• Integrate, synchronize, and calibrate perception hardware, including Intel RealSense, Luxonis OAK-D, ZED, FLIR, GigE, and USB camera systems.
• Diagnose and resolve hardware, networking, and system-level issues across lab and remote deployments; support robot bring-up, maintenance, and fleet operations.
• Improve developer tooling, automation, and documentation to increase reliability and research velocity.
• Collaborate closely with researchers and engineers to prototype, test, and iterate on new robotic capabilities.

• Strong programming skills in Python and C++, with working knowledge of C#.
• Deep experience with ROS 2, Ubuntu or other Linux distributions, Docker, Git, and shell scripting.
• Experience integrating robotics hardware through vendor SDKs and low-level hardware APIs.
• Solid understanding of networking fundamentals, including TCP/IP, SSH, VPNs, REST or gRPC, and WebSockets.
• Hands-on experience building teleoperation systems and real-time video streaming infrastructure.
• Experience integrating and calibrating multimodal sensor systems, including RGB, depth, stereo, and IMU sensors, and working with force and joint telemetry.
• Familiarity managing large robotics datasets using cloud object storage such as AWS S3 or Cloudflare R2.
• Strong debugging skills across hardware, software, networking, and embedded systems.
• Comfortable working in a fast-paced, experimental environment where priorities evolve quickly.

• Supporting fleets of robots in production or research environments.
• Familiarity with distributed robotics infrastructure and remote diagnostics.
• Experience building tooling for robotics data collection, evaluation, or simulation.
• Contributions to open-source robotics software or robotics research projects.
• Experience with autonomous systems, computer vision, or embodied AI.

• Employment type: Full-time.
• Work location: On-site, San Francisco.

• Base pay range: 200000 - 300000 yearly.